Voltage dip detection with half cycle window RMS values and aggregation of short events

Y. Qin; G. Ye; V. Cuk; J.F.G. Cobben

doi:10.24084/repqj13.352

Voltage dip detection with half cycle window RMS values and aggregation of short events

Y. Qin, G. Ye, V. Cuk, J.F.G. Cobben

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Abstract

This paper presents the results of the analysis on the 2 data window lengths adopted in instruments for the detection of voltage dips (sags). The first one is commonly applied which use one cycle window to calculate the RMS value of residual voltage, the other one uses half cycle window to calculate the RMS values. These two window lengths are compared analytically and based on a simulation in this paper. Thee short duration dips are emphasized as they lead to more differences. The different affectivee factors like residual voltage and phase angle jump are also discussed. A set of field measured dip data are analysed with these 2 methods and the results are given and compared.

Original language	English
Article number	352
Pages (from-to)	439-444
Number of pages	6
Journal	Renewable Energy & Power Quality Journal
Volume	1
Issue number	13
DOIs	https://doi.org/10.24084/repqj13.352 https://doi.org/10.24084/repqj13.352
Publication status	Published - 1 Apr 2015
Event	2015 International Conference on Renewble Energies and Power Quality, ICREPQ 2015 - La Coruña, Spain Duration: 25 Mar 2015 → 27 Mar 2015

Keywords

Dip duration
Power quality (PQ)
Residual voltage
Voltage dip

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abstract = "This paper presents the results of the analysis on the 2 data window lengths adopted in instruments for the detection of voltage dips (sags). The first one is commonly applied which use one cycle window to calculate the RMS value of residual voltage, the other one uses half cycle window to calculate the RMS values. These two window lengths are compared analytically and based on a simulation in this paper. Thee short duration dips are emphasized as they lead to more differences. The different affectivee factors like residual voltage and phase angle jump are also discussed. A set of field measured dip data are analysed with these 2 methods and the results are given and compared.",

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AU - Qin, Y.

AU - Ye, G.

AU - Cuk, V.

AU - Cobben, J.F.G.

PY - 2015/4/1

Y1 - 2015/4/1

N2 - This paper presents the results of the analysis on the 2 data window lengths adopted in instruments for the detection of voltage dips (sags). The first one is commonly applied which use one cycle window to calculate the RMS value of residual voltage, the other one uses half cycle window to calculate the RMS values. These two window lengths are compared analytically and based on a simulation in this paper. Thee short duration dips are emphasized as they lead to more differences. The different affectivee factors like residual voltage and phase angle jump are also discussed. A set of field measured dip data are analysed with these 2 methods and the results are given and compared.

AB - This paper presents the results of the analysis on the 2 data window lengths adopted in instruments for the detection of voltage dips (sags). The first one is commonly applied which use one cycle window to calculate the RMS value of residual voltage, the other one uses half cycle window to calculate the RMS values. These two window lengths are compared analytically and based on a simulation in this paper. Thee short duration dips are emphasized as they lead to more differences. The different affectivee factors like residual voltage and phase angle jump are also discussed. A set of field measured dip data are analysed with these 2 methods and the results are given and compared.

KW - Dip duration

KW - Power quality (PQ)

KW - Residual voltage

KW - Voltage dip

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EP - 444

JO - Renewable Energy & Power Quality Journal

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Y2 - 25 March 2015 through 27 March 2015

ER -

Voltage dip detection with half cycle window RMS values and aggregation of short events

Abstract

Keywords

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